Full Text:   <806>

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CLC number: TN929.5

On-line Access: 2020-02-27

Received: 2019-08-30

Revision Accepted: 2019-12-22

Crosschecked: 2020-01-14

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Jian-hua Zhang

https://orcid.org/0000-0002-6492-3846

Pan Tang

https://orcid.org/0000-0003-0432-7361

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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.1 P.39-61

http://doi.org/10.1631/FITEE.1900450


Channel measurements and models for 6G: current status and future outlook


Author(s):  Jian-hua Zhang, Pan Tang, Li Yu, Tao Jiang, Lei Tian

Affiliation(s):  State Key Lab of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Corresponding email(s):   jhzhang@bupt.edu.cn, tangpan27@bupt.edu.cn

Key Words:  Channel measurements, Channel models, Sixth generation, Terahertz, Industrial Internet of Things, Space-air-ground integrated network, Machine learning


Jian-hua Zhang, Pan Tang, Li Yu, Tao Jiang, Lei Tian. Channel measurements and models for 6G: current status and future outlook[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(1): 39-61.

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Abstract: 
With the commercialization of fifth generation networks worldwide, research into sixth generation (6G) networks has been launched to meet the demands for high data rates and low latency for future services. A wireless propagation channel is the transmission medium to transfer information between the transmitter and the receiver. Moreover, channel properties determine the ultimate performance limit of wireless communication systems. Thus, conducting channel research is a prerequisite to designing 6G wireless communication systems. In this paper, we first introduce several emerging technologies and applications for 6G, such as terahertz communication, industrial Internet of Things, space-air-ground integrated network, and machine learning, and point out the developing trends of 6G channel models. Then, we give a review of channel measurements and models for the technologies and applications. Finally, the outlook for 6G channel measurements and models is discussed.

面向6G的信道测量与建模:现状与展望

张建华,唐盼,于力,姜涛,田磊
北京邮电大学网络与交换国家重点实验室,中国北京市,100876

摘要:随着5G在全球范围内商业化进程的推进,为满足未来更高速率、更低延迟和新业务的需求,面向6G的研究已经启动。无线信道是收发两端信息传输的通道,无线信道的特性决定了无线通信系统的性能限。因此,关于信道的研究是6G无线通信系统研发的基础性研究。本文首先介绍了6G可能出现的技术和应用,包括太赫兹通信、工业互联网、空天地一体化网络和机器学习,并指出6G信道模型面临更高频率、更大带宽和超大规模天线阵列、多样化场景进一步扩展的挑战。其次,针对这些技术和应用,综述了目前太赫兹信道、工业互联网信道、空天地信道的测量与建模,以及基于机器学习和三维环境重构的智能化建模4个方面的研究进展。最后,面向未来,展望了上述4个方面有待深入研究的问题。

关键词:信道测量;信道建模;6G;太赫兹;工业互联网;空天地一体化网络;机器学习

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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